activity
20232026
most citedFederated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection

1 citations · 1 across the 16 of their papers we have counts for

collaborators
Showing cs.CVShow all

15 papers · 1 filter

cs.CV2026

Towards Compact Unified Multimodal Tracking: Synergizing Knowledge Distillation with Structural Pruning

Yuqi Li, Yuedong Tan, Huiran Duan +7

Unified multimodal object tracking has achieved remarkable robustness by leveraging complementary sensor data (e.g., RGB, Thermal, Depth), yet the heavy computational burden of sta…

cs.CV2026

Rethinking Layer-Wise Information Allocation for Vision Foundation Model Adaptation

Yuqi Li, Xi Xiao, Yunbei Zhang +6

Vision foundation models are increasingly reused as frozen backbones for downstream visual recognition, making parameter-efficient adaptation a central problem. Prompt-based adapta…

cs.CV2026

Echo-Forcing: A Scene Memory Framework for Interactive Long Video Generation

Mingqiang Wu, Weilun Feng, Zhefeng Zhang +8

Autoregressive video diffusion models enable open-ended generation through local attention and KV caching. However, existing training-free long-video optimization methods mainly fo…

cs.CV2026

GaitKD: A Universal Decoupled Distillation Framework for Efficient Gait Recognition

Yuqi Li, Qian Zhou, Huiran Duan +5

Gait recognition is an attractive biometric modality for long-range and contact-free identification, but high-performing gait models often rely on deep and computationally expensiv…

cs.CV2026

The Fourth Challenge on Image Super-Resolution (4) at NTIRE 2026: Benchmark Results and Method Overview

Zheng Chen, Kai Liu, Jingkai Wang +150

This paper presents the NTIRE 2026 image super-resolution (4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to r…

cs.CV2026

WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching

Weilun Feng, Guoxin Fan, Haotong Qin +10

Diffusion-based world models have shown strong potential for unified world simulation, but the iterative denoising remains too costly for interactive use and long-horizon rollouts.…